Semantic Web specialist / Knowledge engineer
Geneva, CH
vor 6 Tg.

The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide.

The EPFL employs 6,000 people supporting the three main missions of the institutions : education, research and innovation.

The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.

Semantic Web specialist / Knowledge engineer (W / M)

Your mission :

The Blue Brain Project (BBP), applies advanced neuroinformatics, data analytics, high-performance computing and simulation-

based approaches to the challenge of understanding the structure and function of the mammalian brain in health and disease.

The BBP plays a leading role in the Human Brain Project, which aims to accelerate our understanding of the human brain, enable advances in defining and diagnosing brain disorders, and develop new brain-

like technologies through open science and global collaboration.The BBP is building the Blue Brain Nexus platform, a semantic metadata catalog and a Knowledge Graph platform used for large-

scale neuroscience data integration, search and analysis to serve the scientific community.

To strengthen its Data and Knowledge Engineering team BBP is looking for a : Semantic Web Specialist / Knowledge Engineer (W / M) Main duties and responsibilities include :

  • Develop data and knowledge structures for improving data integration and accessibility as well as enabling automated reasoning and inference within the knowledge graph
  • Analyze and process graph data structures and content to design and implement semantic data indexing and search strategies
  • Develop and maintain microservices to access data within the knowledge graph,
  • Develop pipeline to semantically represent in the knowledge graph data from different sources and various formats.
  • Implement best-practices for building and documenting ontologies,
  • Implement best-practices for maintainable software development, including but not limited to : continuous integration, build, release, deployment process, managing services in various environments, documentation, adherence to and improvement of coding standards.
  • Experience and preferred skills :

  • Strong experience in Semantic web technologies and formats (at least : RDF, OWL, SPARQL)
  • Experience in building Linked Data platform and knowledge graphs,
  • Experience with at least one framework for building semantic web applications : Jena, OWL API, RDFLib, ...
  • Experience with at least one triple store : (Blazegraph, Virtuoso...),
  • Experience with at least one of the following programming languages : Python, Java, Scala,
  • Experience with NoSQL and / or RDBMS systems,
  • Agile software development, unit and integration testing.
  • Experience in any of the following areas would be a plus :

  • Distributed systems,
  • Lucene based search engines (ElasticSearch, Solr),
  • Graph algorithms,
  • Scripting languages (Python, Bash),
  • Scala / Java frameworks (Akka toolkit, Spring, Hibernate, RabbitMQ),
  • DevOps technologies (Docker, OpenShift, OpenStack, Jenkins),
  • Scalable data analytics technologies (Spark).
  • Profile :

  • Master degree in software engineering or equivalent,
  • At least 3 years’ experience of software development and / or knowledge engineering,
  • English written and spoken. French would be a plus.
  • We offer :

  • An internationally visible and rising project in simulation-based research in neuroscience using supercomputers,
  • A young, dynamic, inter-disciplinary, and international working environment,
  • A modern working environment, based at Biotech Campus in Geneva Sécheron.
  • Start date :

    As soon as possible Term of employment :

    Fixed-term (CDD) Work rate :

    100% Duration :

    1 year, renewable Remark :

    Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.

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